BibTex format
@unpublished{Atam:2020,
author = {Atam, E and Kerrigan, EC},
publisher = {arXiv},
title = {Optimal partitioning of multi-thermal zone buildings for decentralized control},
url = {http://arxiv.org/abs/2006.06326v1},
year = {2020}
}
Publications
Citation
RIS format (EndNote, RefMan)
TY - UNPB
AB - In this paper, we develop an optimization-based systematic approach for thechallenging, less studied, and important problem of optimal partitioning ofmulti-thermal zone buildings for the decentralized control. The proposed methodconsists of (i) construction of a graph-based network to quantitativelycharacterize the thermal interaction level between neighbor zones, and (ii) theapplication of two different approaches for optimal clustering of the resultingnetwork graph: stochastic optimization and robust optimization. The proposedmethod was tested on two case studies: a 5-zone building (a small-scaleexample) which allows one to consider all possible partitions to assess thesuccess rate of the developed method; and a 20-zone building (a large-scaleexample) for which the developed method was used to predict the optimalpartitioning of the thermal zones. Compared to the existing literature, ourapproach provides a systematic and potentially optimal solution for theconsidered problem.
AU - Atam,E
AU - Kerrigan,EC
PB - arXiv
PY - 2020///
TI - Optimal partitioning of multi-thermal zone buildings for decentralized control
UR - http://arxiv.org/abs/2006.06326v1
UR - http://hdl.handle.net/10044/1/80118
ER -